This study concentrates on the signal approach for Kazakhstan. It focuses on the properties of individual indicators prior to observed currency crises. The indicators are used to build composite indicators. An advanced approach uses principal components analysis for the construction of composite...

The focus is upon equilibrium real exchange rates, optimal external debt and their interaction, in a world where both the return on investment and the real rate of interest are stochastic variables. These theoretically based measures are applied empirically to answer the following questions:...

We show that political booms, measured by the rise in governments' popularity, predict financial crises above and beyond other better-known early warning indicators, such as credit booms. This predictive power, however, only holds in emerging economies. We show that governments in emerging...

Our friend and colleague Rüdiger Dornbusch passed away before he was able tocomplete his book based on the Munich Lectures in Economics that he gave inNovember 17, 1998, at the Center for Economic Studies of Ludwig-Maximilians-Universität.The lectures contain a fascinating overview of the...

In this paper we characterize empirically the comovements of macro variables typically observed in middle income countries, as well as the boom-bust cycle that has been observed during the last two decades. We find that many countries that have liberalized their financial markets, have witnessed...

We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions. We investigate the relative performance of VaR and ES models using daily returns for sixteen stock market indices (eight from developed and eight...

We assess the robustness of previous findings on the determinants of terrorism. Using extreme bound analysis, the three most comprehensive terrorism datasets, and focusing on the three most commonly analyzed aspects of terrorist activity, i.e., location, victim, and perpetrator, we re-assess the...

We introduce archetypal analysis as a tool to describe and categorize scientists. This approach identifies typical characteristics of extreme ('archetypal') values in a multivariate data set. These positive or negative contextual attributes can be allocated to each scientists under...

In this study, we compare the out-of-sample forecasting performance of several modern Value-at- Risk (VaR) estimators derived from extreme value theory (EVT). Specifically, in a multi-asset study covering 30 years of stock, bond, commodity and currency market data, we analyse the accuracy of the...

We examine how the tail risk of currency returns over the past 20 years were impacted by central bank (monetary and liquidity) measures across the globe with an original and unique dataset that we make publicly available. Using a standard factor model, we derive theoretical measures of tail...